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Regularisation: A Deep Dive into Theory, Implementation, and Practical Insights

Regularisation: A Deep Dive into Theory, Implementation, and Practical Insights
This blog is a deep dive into regularisation techniques, intended to give you simple intuitions, mathematical foundations, and implementation details. ...
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Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives

Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives
neural networks, we often juggle two competing objectives. For example, maximizing predictive performance while also meeting a secondary goal like fairness, interpretability, ...
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